Top 10 Dremio and AWS Best Practices for Data Lakes (Part 1 of 2)

   

Session Abstract

Data teams are spending too much time bogged down by time-consuming queries and complex data systems.Data lakes provide a cost-effective, centralized repository for both structured and unstructured data, yet despite these advantages, data lake users still experience challenges related to performance, managing data workflows and making data and analytics available to business users readily.Join this session to learn how data teams can accelerate queries to data stored in AWS data lakes and storage, while reducing data engineering costs and simplifying data access for analysts and data scientists.

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